Mark Urban‐Lurain
- Education top 2%
- Developmental and Educational Psychology top 5%
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Co-authors
- John MerrillKevin C. HaudekRoss H. NehmLuanna B. PrevostMinsu HaJoyce ParkerXiaoming ZhaıMichelle K. Smith
- Topics
- Experimental Learning in Engineering (19 papers)Science Education and Pedagogy (17 papers)Innovative Teaching Methods (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Research in Science Teaching
- Partner nations
- United StatesNorway
In The Last Decade
Mark Urban‐Lurain
64 papers receiving 815 citations
Peers
Comparison fields: 5 of 95
- Education 547
- Developmental and Educational Psychology 263
- Computer Science Applications 189
- Artificial Intelligence 132
- Media Technology 118
Countries citing papers authored by Mark Urban‐Lurain
This map shows the geographic impact of Mark Urban‐Lurain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Urban‐Lurain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Urban‐Lurain more than expected).
Fields of papers citing papers by Mark Urban‐Lurain
This network shows the impact of papers produced by Mark Urban‐Lurain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Urban‐Lurain. The network helps show where Mark Urban‐Lurain may publish in the future.
Co-authorship network of co-authors of Mark Urban‐Lurain
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Urban‐Lurain. A scholar is included among the top collaborators of Mark Urban‐Lurain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Urban‐Lurain. Mark Urban‐Lurain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 37 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 71 | |
| 8 | 10 | |
| 9 | 21 | |
| 10 | A Lesson in Teaching, Starring You. | 1 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | Fluency with Information Technology in Teacher Education: Moving from Novice Towards Expertise | 2 |
| 15 | 2 | |
| 16 | Multi-section freshman classes with laboratories: Lecture as intro vs. lecture as wrap-up | 1 |
| 17 | Application of Object-Centered Scaffolding to Introductory MatLab | 12 |
| 18 | 17 | |
| 19 | 23 | |
| 20 | Mastering Computing Technology: A New Approach for Non-Computer Science Majors | 9 |
About Mark Urban‐Lurain
Mark Urban‐Lurain is a scholar working on Architecture, Media Technology and Computer Science Applications, having authored 67 papers that have together received 868 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (19 papers), Science Education and Pedagogy (17 papers) and Innovative Teaching Methods (15 papers). The work is most often cited by research in Computer Science Applications (189 citations), Developmental and Educational Psychology (263 citations) and Architecture (31 citations). Mark Urban‐Lurain has collaborated with scholars based in United States and Norway. Frequent co-authors include John Merrill, Kevin C. Haudek, Ross H. Nehm, Luanna B. Prevost, Minsu Ha, Joyce Parker, Xiaoming Zhaı, Michelle K. Smith, Jenny Knight and Lehong Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Research in Science Teaching.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.